inf962 - Fundamental Competencies in Computing Science III: Algorithms and Computational Problem Solving (Course overview)

Department of Computing Science

6 KP

Module components

Semester courses Winter semester 2023/2024

Examination

Lecture

2.01.980 - CS4Science
- Dr. Ute Vogel-Sonnenschein
Tuesday: 08:00 - 10:00, weekly (from 17/10/23), V, Location: A01 0-006
Thursday: 16:00 - 18:00, weekly (from 19/10/23), V+Ü, Location: A01 0-008
Dates on Tuesday, 13.02.2024, Tuesday, 26.03.2024 09:00 - 11:00, Location: A04 1-139 (Rechnerraum)
This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python.

Exercises

2.01.980-a - CS4Science A (Exercise, in German)
- Dr. Ute Vogel-Sonnenschein
Tuesday: 16:00 - 18:00, weekly (from 24/10/23), Ü
Dates on Wednesday, 01.11.2023 16:15 - 17:45
This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python.
2.01.980-b - CS4Science B (Exercise, in English)
- Dr. Ute Vogel-Sonnenschein
Wednesday: 14:00 - 16:00, weekly (from 25/10/23)

This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python.
2.01.980-c - CS4Science C (Exercise, in English)
- Dr. Ute Vogel-Sonnenschein
Thursday: 08:00 - 10:00, weekly (from 26/10/23)

This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python.

Hinweise zum Modul

Prerequisites	No specific knowledge is required to take part in this module. This module provides students with non-computer science backgrounds with the computational problem-solving skills necessary to complete subsequent computer science courses. It is not intended for students who study computer science or business informatics.
Reference text	In the winter term, this module is held in English, in the summer term in German. Slides and homework are in English.
Prüfungszeiten	The exam takes place in the first three weeks after the end of the event period. The re-exam takes place in the last three weeks before the start of the next event period.
Module examination	Practical exercises and exams or Practical exercises and oral examination (with fewer than 20 participants)
Skills to be acquired in this module	Graduates of the module have acquired a deeper understanding of basic theories and techniques in computer science and can classify problems that arise. This enables students to structure and model simple tasks from their subject area using computer science, to design approaches to solutions and to estimate the effort required to solve them. They have a basic understanding of the design and use of relational databases. This course provides students with fundamental computational problem-solving skills necessary to complete subsequent courses in computer science. Professional competences The students name the basic concepts of von Neumann's computer architecture, describe concepts of the computational representation of information and their limits, use basic data structures and algorithms and reason about their complexity, model simple problems with formal concepts such as automata and formal languages, design simple relational databases and identify the advantages of database-based storage. Methodological competences The students analyze problems from their area of application, design appropriate solutions for simple problems using the Python programming language and estimate the effort required to execute them, design simple object-oriented models use a simple IDE and implement scripts in Python, discuss alternative computational representations of data and problems and draw informed conclusions from them Social competences The students present and discuss their solutions in an interdisciplinary team, develop solutions to simple problems cooperatively in a team. Self-competences The students critically reflect on fundamental design decisions in algorithms and data structures, deepen their time management skills.